A concise description of the correlation theory for cyclostationary random signals is given. It is based on a time-frequency cyclic correlation function and on a bifrequent spectral correlation function (SCF). The relations to conventional stationary correlation, Wigner distribution and spectrogram analysis are emphasized. The cyclic transfer properties of linear time-invariant and linear periodically time-variant systems are outlined. Simple examples give a feeling for performance and applications of spectral correlation measure- ment. The basic schemes of SCF estimation are mentioned briefly
This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally ...
We introduce a general class of multivariate periodically correlated processes and their correspondi...
This paper addresses the representation of continuous-time strongly harmonizable periodically correl...
The properties of cyclostationary process’ stationary components, selected using bandpass filtering,...
International audienceAlthough the Spectral Correlation is one of the most versatile spectral tools ...
Various random time series used in signal processing systems are cyclostationary due to the sinusoid...
Spectral correlation theory for cyclostationary time-series signals has been studied for decades. Ex...
Brief analysis of correlation and spectral characteristics that describe interconnections between tw...
We review spectral analysis and its application in inference for stationary processes. As can be see...
Many random time series used in signal processing systems are cyclostationary due to the sinusoidal ...
Cyclostationarity is an inherent characteristic of many man-made communication signals, which, if pr...
Many random time series used in signal processing systems are cyclostationary due to the sinusoidal ...
The article deals with a non‐linear method of correlation function and spectrum power density estima...
This report discusses the implementation of one of the best digital cyclic spec-trum (CS) algorithms...
This report shows that cyclic spectral analysis, as a general tool for signal spectral analysis, is ...
This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally ...
We introduce a general class of multivariate periodically correlated processes and their correspondi...
This paper addresses the representation of continuous-time strongly harmonizable periodically correl...
The properties of cyclostationary process’ stationary components, selected using bandpass filtering,...
International audienceAlthough the Spectral Correlation is one of the most versatile spectral tools ...
Various random time series used in signal processing systems are cyclostationary due to the sinusoid...
Spectral correlation theory for cyclostationary time-series signals has been studied for decades. Ex...
Brief analysis of correlation and spectral characteristics that describe interconnections between tw...
We review spectral analysis and its application in inference for stationary processes. As can be see...
Many random time series used in signal processing systems are cyclostationary due to the sinusoidal ...
Cyclostationarity is an inherent characteristic of many man-made communication signals, which, if pr...
Many random time series used in signal processing systems are cyclostationary due to the sinusoidal ...
The article deals with a non‐linear method of correlation function and spectrum power density estima...
This report discusses the implementation of one of the best digital cyclic spec-trum (CS) algorithms...
This report shows that cyclic spectral analysis, as a general tool for signal spectral analysis, is ...
This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally ...
We introduce a general class of multivariate periodically correlated processes and their correspondi...
This paper addresses the representation of continuous-time strongly harmonizable periodically correl...